Contact: Rex Graham
ragraham@ucsd.edu
858-822-3075
University of California - San Diego

Marker Reproducibility and Metastasis Prediction Performance

Caption: Agreement in markers selected from the van de Vijver et al. data set versus those selected from Wang et al.. Blue bars chart the magnitude of overlap on the left axis; the red line charts the hypergeometric p-values of overlap on the right axis. The first "single-gene" analysis was performed by using the same number of top discriminative genes as the number of genes covered by subnetwork markers. The second "single-gene" analysis was performed by using the same number of top discriminative genes as those in the gene signatures published in van de Vijver et al. and Wang et al. (b) Area Under Curve (AUC) classification performance of subnetworks, individual genes, or modules from GO or MSigDB. The blue line charts the performance of markers selected based on the Wang et al. dataset and tested on the van de Vijver et al. dataset; the pink line represents the reciprocal test. The performance of the 1000 random subnetworks is denoted by its mean±stdev. (c-d) Erk1 (MAPK3) subnetworks in van de Vijver et al. and Wang et al. (e-f) Example network motifs shared between subnetworks selected from the two cohorts. The left-hand side motif is from van de Vijver et al. and the right-hand side is from Wang et al. (g-h) Examples of highly predictive subnetwork markers from Wang et al. (i-j) Examples of highly predictive subnetwork markers from van de Vijver et al. This is figure 2 from a Molecular Systems Biology published online Oct. 16, 2007. Senior author: Trey Ideker from UC San Diego.

Credit: Trey Ideker / UC San Diego / Molecular Systems Biology

Usage Restrictions: Mandatory credit: Trey Ideker / UC San Diego / Molecular Systems Biology

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